#!/usr/bin/env python
# a bar plot with errorbars
import numpy as np
import matplotlib.pyplot as plt
import sys
from pylab import *
def rcolor():
return 'b'
return tuple(np.random.rand(3))
from build_csv import build_results
results = build_results(sys.argv[1]) # dict task -> impl -> time
for task in results:
print task
fig = plt.figure()
ax = fig.add_subplot(111)
width = 0.30 # the width of the bars
scores = [(s,i) for (i,s) in results[task].items()]
scores.sort()
scores = scores[-8:]
rect = ax.barh(-.15+np.arange(len(scores)),
[s for (s,i) in scores],
0.3, # width
#!/usr/bin/env python
# a bar plot with errorbars
import numpy as np
import matplotlib.pyplot as plt
import sys
from pylab import *
def rcolor():
return 'b'
return tuple(np.random.rand(3))
from build_csv import build_results
results = build_results(sys.argv[1]) # dict task -> impl -> time
for task in results:
print task
fig = plt.figure()
ax = fig.add_subplot(111)
width = 0.30 # the width of the bars
scores = [(s, i) for (i, s) in results[task].items()]
scores.sort()
scores = scores[-8:]
rect = ax.barh(
-.15 + np.arange(len(scores)),
#!/usr/bin/env python
import os
import sys
from build_csv import build_results
if __name__ == '__main__':
r = build_results(sys.argv[1])
keys = r.keys()
keys.sort()
for k in keys:
v = r[k]
print k
r_k = [(v[i],i) for i in v]
r_k.sort()
r_k.reverse()
for t, i in r_k:
print " %10.2f - %s" %(t, i)
print ''
#!/usr/bin/env python
import os
import sys
from build_csv import build_results
if __name__ == '__main__':
r = build_results(sys.argv[1])
keys = r.keys()
keys.sort()
for k in keys:
v = r[k]
print k
r_k = [(v[i], i) for i in v]
r_k.sort()
r_k.reverse()
for t, i in r_k:
print " %10.2f - %s" % (t, i)
print ''
